Senior DevOps Engineer - Payments & AI Platforms

San Francisco, CA, US • Posted 2 days ago • Updated 2 hours ago
Full Time
On-site
USD $80,000.00 - 150,000.00 per year
Fitment

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Job Details

Skills

  • Payments
  • Creative Problem Solving
  • Continuous Integration and Development
  • IaaS
  • Provisioning
  • Root Cause Analysis
  • Software Release Life Cycle
  • Regulatory Compliance
  • Access Control
  • Version Control
  • .NET
  • DevOps
  • Computer Science
  • Cloud Computing
  • Terraform
  • Google Cloud
  • Google Cloud Platform
  • Soft Skills
  • Management
  • GitLab
  • Continuous Integration
  • Continuous Delivery
  • Scripting
  • Python
  • Bash
  • Orchestration
  • Docker
  • Kubernetes
  • Kibana
  • Dynatrace
  • Financial Services
  • Software Development
  • Agile
  • Scrum
  • ServiceNow
  • FOCUS
  • Data Science
  • Training
  • Artificial Intelligence
  • Laptop
  • Law

Summary

Location:
1 California Street, San Francisco California

Role Summary
Responsible for enabling reliable, scalable, and secure delivery of software by designing and managing the infrastructure, pipelines, and automation that support development and deployment. Acts as the bridge between engineers, ensuring systems are resilient and changes move efficiently into production. Supports the Lead Engineer in maintaining and advocating for best-practices across DevOps, CI/CD pipelines, and platform infrastructure.

About the Team

This role would be joining and supporting the XUP tech team and the platforms they own for Commercial Bank AI and Merchant Payments. This is a fast-paced cutting-edge team at the Bank who values creative problem solving, curiosity, and embracing the latest tech. We are an AI native team, and are constantly exploring how we advance our tools and skillsets.

Core Responsibilities
  • Design, build, and maintain CI/CD pipelines to support continuous integration and deployment
  • Assist with standardization of multiple codebases especially within the Google Cloud Platform environments
  • Manage cloud infrastructure, environments, and configuration
  • Automate infrastructure provisioning using infrastructure-as-code (e.g., Terraform)
  • Monitor system performance, availability, and reliability; respond to incidents and drive root cause analysis
  • Implement logging, observability, and alerting frameworks
  • Partner with engineering and data science teams to optimize build, release, and deployment processes
  • Enforce security, compliance, and access controls across environments
  • Maintain version control, branching strategies, and release governance practices
  • Advocate for net new AI powered capabilities to support DevOps and other processes within the organization

Required Skillset
  • 5-8 years of experience and demonstrated ability to work independently and lead projects.
  • Bachelor's Degree in computer science or a related field, or equivalent experience. (required)
  • Strong understanding of cloud architectures and distributed systems within an enterprise environment
  • Strong capability with Terraform, Google Cloud Platform, GitLab
  • Strong interpersonal / soft skills for managing complex relationships across an enterprise tech ecosystem
  • Ability to troubleshoot complex system issues across the stack
  • Experience with GitLab CI/CD across complex enterprise codebases
  • Proficiency in scripting and automation (e.g., Python, Bash)
  • Knowledge of containerization and orchestration (e.g., Docker, Kubernetes)
  • Familiarity with monitoring and observability tools (e.g., Kibana, Dynatrace)
  • Experience with enterprise financial services and/or in a highly regulated markets that require higher standards of security and architecture
  • High proficiency in using AI coding assistants to execute engineering projects
  • Understanding software development lifecycles and methodologies (Agile, Scrum, etc.)
  • All KeyBank employees are expected to demonstrate Key's Values and abide by Key's Code of Conduct.

Outcome Focus
  • Consistent and reliable software releases
  • Reduced manual intervention through automation
  • Improved system uptime and performance
  • Secure, compliant infrastructure and deployment practices

Nice to Have
  • Experience with ServiceNow to support complex teams needs
  • Experience with launching AI products with a specific focus on LLM's, and data science heavy projects
  • Experience supporting AI post-training activities
  • Experience with deploying eval and observability systems for AI products

Physical Demands
  • General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.

Work Location Category
  • Remote
  • CA Bay Area preferred

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 07/24/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing

#LI-Hybrid
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1aa143
  • Position Id: b349d20b1602f9ad4292ec58976b7b99
  • Posted 2 days ago
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